Anthropic releases Claude Opus 4.7 with 1M context window for long-running agent tasks
Anthropic has released Claude Opus 4.7, the latest version of its flagship Opus family designed for long-running, asynchronous agent tasks. The model features a 1 million token context window and costs $5 per million input tokens and $25 per million output tokens.
Claude Opus 4.7 — Quick Specs
Anthropic Releases Claude Opus 4.7 for Long-Running Agent Tasks
Anthropic has released Claude Opus 4.7, the latest iteration of its Opus model family, on April 15, 2026. The model features a 1 million token context window and is priced at $5 per million input tokens and $25 per million output tokens.
Technical Specifications
Claude Opus 4.7 supports a context window of 1,000,000 tokens, maintaining the pricing structure of $5 per million input tokens and $25 per million output tokens. The model is available through OpenRouter and other providers.
Key Capabilities
According to Anthropic, Opus 4.7 is optimized for asynchronous agent pipelines where tasks unfold over time. The company claims the model delivers "stronger performance on complex, multi-step tasks and more reliable agentic execution across extended workflows" compared to its predecessor, Opus 4.6.
The model targets specific use cases including:
- Large codebase navigation and multi-stage debugging
- End-to-end project orchestration
- Document drafting and presentation building
- Data analysis workflows
Anthropic states that Opus 4.7 "maintains coherence across very long outputs and extended sessions," positioning it for tasks requiring persistence and follow-through.
Model Evolution
Opus 4.7 builds on the coding and agentic capabilities introduced in Opus 4.6. Anthropic has published a migration guide for users upgrading from earlier Opus versions, though specific benchmark comparisons were not disclosed in the release.
Availability
The model is currently available through OpenRouter, which routes requests to multiple providers with fallback support. OpenRouter supports reasoning-enabled functionality, allowing developers to access the model's step-by-step thinking process through the reasoning_details array in API responses.
What This Means
Claude Opus 4.7 represents Anthropic's continued focus on agent-oriented models capable of handling extended, multi-step workflows. The 1M context window and claimed improvements in coherence across long sessions position it for enterprise use cases requiring sustained task execution. However, without published benchmark scores or direct performance comparisons, developers will need to test whether the claimed improvements in "reliable agentic execution" translate to measurable gains in their specific applications. The $5/$25 pricing maintains Anthropic's positioning in the premium model tier.
Related Articles
Anthropic Launches Model Hardware Standard to Let AI Agents Control Lab Robots and Machines
Anthropic has released a research preview of the Model Hardware Standard (MHS), a protocol that lets AI agents discover and control physical devices like robotic arms and liquid handlers through a single interface. Built with HHMI Janelia Research Campus, the spec has been tested by Genentech, Carnegie Mellon, and QuEra, with Anthropic claiming it cuts hardware integration time from weeks to hours.
Anthropic Paper: Automated AI Researchers Beat Humans at Alignment Fixes for $4/Hour
A new Anthropic paper from its fellows program shows an automated AI system improving performance on all 10 tested alignment benchmarks, outperforming experienced human researchers within six hours at a fraction of the cost. The research, led by Anthropic Fellow Chen Yueh-Han, is described as early evidence that automated alignment post-training could become practical soon.
Tencent Open-Sources Hy4 Preview: 770B-Parameter MoE Model with 1M-Token Context
Tencent's Hy Team has open-sourced Hy4 preview, a 770-billion-parameter Mixture-of-Experts model with 49 billion activated parameters and a 1-million-token context window. The model is available under Apache 2.0 alongside an FP8-quantized variant, with Tencent claiming it beats GLM 5.3 and Kimi K3 on internal engineering evaluations.
Tencent Releases Hy4 Preview: 770B-Parameter MoE Model with 1M Context for Coding Agents
Tencent has released Hy4 preview, a mixture-of-experts model with 770B total parameters and 49B active parameters, targeting coding agents and multi-step tool-use workflows. The model ships with a 1 million token context window and is priced at $0.834 per 1M input tokens and $2.501 per 1M output tokens.
Comments
Loading...